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resolve the issue, then you have people queuing up to get further understanding.
This comes back to the point I emphasized earlier on. The ‘hands on’ is necessary.
References
Jacob F, Monod J 1961 Genetic regulatory mechanisms in the synthesis of proteins. J Mol Biol
3:318^356
Noble D 2002 Simulation of Na^Ca exchange activity during ischaemia. Ann NY Acad Sci, in
press
206 GENERAL DISCUSSION IV
The IUPS Physiome Project
P.J. Hunter, P.M.F. Nielsen and D. Bullivant
Bioengineering Institute, University of Auckland, Private Bag 92019, Auckland, New Zealand
Abstract. Modern medicine is currently bene¢ting from the development of new genomic
and proteomic techniques, and also from the development of ever more sophisticated
clinical imaging devices. This will mean that the clinical assessment of a patient’s
medical condition could, in the near future, include information from both diagnostic
imaging and DNA pro¢le or protein expression data. The Physiome Project of the
International Union of Physiological Sciences (IUPS) is attempting to provide a
comprehensive framework for modelling the human body using computational
methods which can incorporate the biochemistry, biophysics and anatomy of cells,
tissues and organs. A major goal of the project is to use computational modelling to
analyse integrative biological function in terms of underlying structure and molecular
mechanisms. To support that goal the project is establishing web-accessible
physiological databases dealing with model-related data, including bibliographic
information, at the cell, tissue, organ and organ system levels. This paper discusses the
development of comprehensive integrative mathematical models of human physiology
based on patient-speci¢c quantitative descriptions of anatomical structures and models
of biophysical processes which reach down to the genetic level.
2002 ‘In silico’ simulation of biological processes. Wiley, Chichester (Novartis Foundation
Symposium 247) p 207^221
Physiology has always been concerned with the integrative function of cells,
organs and whole organisms. However, as reductionist biomedical science
succeeds in elucidating ever more detail at the molecular level, it is increasingly
di⁄cult for physiologists to relate integrated whole organ function to underlying
biophysically detailed mechanisms. Understanding a re-entrant arrhythmia in the
heart, for example, depends on knowledge of not only numerous cellular ionic
current mechanisms and signal transduction pathways, but also larger scale
myocardial tissue structure and the spatial distribution of ion channel and gap
junction densities.
The only means of coping with this explosion in complexity is mathematical
modelling a situation very familiar to engineers and physicists who have long
based their design and analysis of complex systems on computer models. Biological
systems, however, are vastly more complex than human engineered systems and
understanding them will require specially designed software and instrumentation
207
‘In Silico’ Simulation of Biological Processes: Novartis Foundation Symposium, Volume 247
Edited by Gregory Bock and Jamie A. Goode
Copyright ¶ Novartis Foundation 2002.
ISBN: 0-470-84480-9